Intelligent Analysis of Sound Patterns of Unmanned Aerial Vehicle Engines in the Tasks of C-UAS Systems Development
Keywords:
intelligent data analysis, UAVs, Counter-Unmanned Aircraft Systems, acoustic detection, acoustic intelligenceAbstract
The article is devoted to the topical issues of developing systems for detection and classifying of unmanned aerial vehicles (UAVs). The proposed approach to the implementation acoustic intelligence methods in the tasks of UAV detection and classifying involves combining different principles of building a control system for an interceptor UAV in a single information management system in order to achieve maximum efficiency and effectiveness in countering enemy UAVs. The article discusses the methods of detecting and classifying UAVs using sound patterns of their engines, forming a steering vector of the sound beam shaper to calculate the azimuth and height of the target UAV. The study focuses on barrage munitions with internal combustion engines of the Shahed type, which are classified as Class 2 according to NATO classification. The relevance of the study is due to the massive use of this type of munitions in hostilities, which overloads air defense systems and makes it quite expensive and inefficient to destroy such targets with existing means.
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